Workshop Schedule

The workshop will be held in the Capital room

8:00

Registration, light breakfast @ Hannover Ballroom

9:00

Invited Keynote: Dr. Jennifer Kidd, Senior Lecturer @ Old Dominion UniversityTitle: Peering Ahead: Imagining the Future of Online Peer Review.Abstract:Peer review can be an effective means to summatively assess student learning, but it has more potential to impact student learning when it is used formatively, when students have time to benefit from the peer review process by revising their work. However, even the best peer review system will not yield better products unless students are motivated to improve. After ten years of online peer review experience, using at least seven different online tools, I’ve come to realize that undergraduate students don’t tend to change their work much as a result of peer review. Most make only minor adjustment or small additions. Is it possible to change this? What would a peer review system look like that elicits substantive student revisions? To start, it would help students identify areas for improvement, provide resources to enable effective changes, and foster motivation to take the necessary action. This is most likely to occur when students draw their own conclusions about their work. Drawing from motivational theory, I will present a vision for a system that help students use peer review as a means to assess themselves.

Prediction of Grades for Reviewing with Automated Peer-review and Reputation Metrics. Da Young Lee(NC State University), Ferry Pramudianto (NC State University) and Edward F. Gehringer (NC State University).

Who Took Peer Review Seriously: Another Perspective on Student-Generated Quizzes.Yang Song (NC State University), Zhewei Hu (NC State University) and Ed Gehringer (NC State University).

When Trying to Be Helpful, Peer Reviews Are Also More Accurate. Melissa Patchan (UPitt), Christian Schunn (UPitt) and Russell Clark (UPitt).

The role of initial input in reputation systems to generate accurate aggregated grades from peer assessment. Zhewei Hu (NC State University), Yang Song (NC State University) and Edward Gehringer (NC State University).